AFAIK, I think the most popular version of this idea is https://readlang.com. - Source: Hacker News / 2 months ago

In my own case, I struggled for over a decade, to get anywhere at all useful with Spanish, until someone in this forum recommended readlang.com. I can't speak for anyone else, but for myself: just reading entire stories, as fast as I could, without stopping AT ALL when I ran into an unknown word, or tense, or idiom, made THE critical difference. Before that, every second word was causing me to stop. And... Source: 10 months ago

If you're going to do this, why not just use something like the free tier of ReadLang? Source: 11 months ago

Readlang, but you have to have a basic vocabulary; otherwise it is not easy. Https://readlang.com/ I've had a love and hate relationship with Duolingo for Dutch and French. I'm trying it for Greek now and it seems to have improved over the last few years. Source: 12 months ago

I think https://readlang.com/ is similar to LingQ and hast the option to upload files - I have never used it though, so no guarantee the formatting is better. Source: about 1 year ago

I see this in https://everynoise.com/#updates > 2024-01-05 status update: With my layoff from Spotify on 2023-12-04, I lost the internal data-access required for ongoing updates to many parts of this site. Most of this, as a result, is now a static snapshot of what, for now, will be the final state from the site's 10-year history and evolution, hosted on my own server. Some pieces may get disabled and reenabled... - Source: Hacker News / about 1 month ago

Anyone aware of a similar feature for foobar2000? I have an extensive library mostly tagged from Discogs, including release IDs. In theory, this should be sufficient to cluster music by genres, pull similar releases from Discogs "similar" feature and correlate data from https://everynoise.com. Obviously, in case of album mixed genres things will mix up, but I'm not sure there's a model that can correlate existing... - Source: Hacker News / about 2 months ago

The article mentions Glenn McDonald's musical genre page (https://everynoise.com/, no longer refreshing with new Spotify data) as an example of a flexible graph-like exploration format, without being burdened by explicit connections. The author also has a thorough description of pros and cons of the general concept. - Source: Hacker News / 5 months ago

This is from Glenn McDonald's blog, founder of "Every Noise at Once". He was laid off from Spotify (discussed here briefly [0]) --- https://everynoise.com/ is now in "archival copy" mode [1][2]. Super sad to read / see this. [0] https://news.ycombinator.com/item?id=38650917 [2] https://twitter.com/EveryNoise/status/1736086849339244935. - Source: Hacker News / 5 months ago

Data exported using: https://benjaminbenben.com/lastfm-to-csv/ Album art compiled using: https://www.neverendingchartrendering.org/ Genre data compiled using: http://organizeyourmusic.playlistmachinery.com/# https://everynoise.com/ https://www.tunemymusic.com/transfer Gender, year and country of origin information manually compiled using Last.fm and wikipedia. Data analysis done in excel and image created in GIMP. Source: 6 months ago